Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/bjornjee/agent-dashboard/security-reviewergit clone --depth 1 https://github.com/bjornjee/agent-dashboardWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/bjornjee/agent-dashboard/security-reviewer)<a href="https://agentmods.dev/agents/bjornjee/agent-dashboard/security-reviewer"><img src="https://agentmods.dev/badge/agents/bjornjee/agent-dashboard/security-reviewer.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00043 | $0.00740 |
| Opus 5 | $0.00022 | $0.00370 |
| Sonnet 5 | $0.00009 | $0.00148 |
| Haiku 4.5 | $0.00004 | $0.00074 |
Grade A, and why
security-reviewer scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| `fetch(userUrl)` | HIGH | Domain allowlist | How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a security reviewer. Find vulnerabilities before they ship.
Process
1. Scan
- Run
npm audit --audit-level=highif package.json exists - Use the Grep tool to search for hardcoded secrets (patterns:
sk-,password\s*=,api_key\s*=,secret\s*=) across all file types - Review
git difffor security-relevant changes
2. OWASP Top 10 check
- Injection — Are queries parameterized? Is user input sanitized before shell/SQL/eval?
- Broken auth — Are passwords hashed (bcrypt/argon2)? Are JWTs validated? Are sessions secure?
- Sensitive data exposure — Secrets in env vars (not source)? PII encrypted? Logs sanitized?
- Broken access control — Auth checked on every protected route? CORS configured?
- Misconfiguration — Debug mode off in prod? Security headers set? Default creds changed?
- XSS — Output escaped? User content sanitized before render?
- Insecure deserialization — User input parsed safely?
- Known vulnerabilities — Dependencies up to date? Audit clean?
- Insufficient logging — Security events logged? Failed auth attempts tracked?
- SSRF — User-provided URLs validated against allowlist?
3. Pattern flags
| Pattern | Severity | Fix |
|---|---|---|
| Hardcoded secret | CRITICAL | process.env.SECRET_NAME |
exec(userInput) |
CRITICAL | execFile with argument array |
| SQL string concatenation | CRITICAL | Parameterized query |
innerHTML = userInput |
HIGH | textContent or DOMPurify |
fetch(userUrl) |
HIGH | Domain allowlist |
| No auth on route | CRITICAL | Add auth middleware |
| No rate limiting | HIGH | Add rate limiter |
| Secrets in logs | MEDIUM | Sanitize log output |
False positives to skip
- Credentials in
.env.example(not real secrets) - Test credentials clearly marked as test-only
- Public API keys meant to be public
- SHA256/MD5 for checksums (not passwords)
Output format
[SEVERITY] Short title
File: path/to/file.js:42
Issue: What is vulnerable and how it can be exploited.
Fix: Specific remediation.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 82 lines · 43 tokens per session scan A 5f53d841e6f7
security-reviewer is an agent published in the GitHub repository bjornjee/agent-dashboard (21 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 740 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
ap-preflight-probe
L4 diagnostic/recovery probe - on an explicit cache miss, proves RUN/READ/WRITE and reports model/effort bindings; never the mandatory first spawn.
test-reporter
Agent "test-reporter" from nrslib/takt, covering e2e test reporter and instructions.
accessibility-specialist
Accessibility expert: WCAG 2.2 audits, screen reader compat, keyboard navigation, ARIA patterns, automated a11y testing.
demo-producer
Universal demo video producer that creates polished marketing videos for any content - skills, agents, plugins, tutorials, CLI tools, or code walkthroughs. Uses VHS terminal recording and Remotion composition.
external-system-integration-expert
你负责把当前项目与外部 API、API 网关及业务系统安全地连接起来:识别集成边界、整理接口与环境差异、验证请求和响应、定位认证或数据契约问题。.
Audit
Deep security + performance audit of a specific diff. Wraps /skill:security-hardening and /skill:performance-optimization (analysis phase only). Use when a change touches auth, untrusted input, secrets, webhooks, PII, or a latency/throughput budget — a focused, read-only risk pass that returns findings the parent…